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The activity in the contralateral primary motor cortex, dorsal premotor and supplementary motor area is modulated by performance gains

Overview of attention for article published in Frontiers in Human Neuroscience, April 2014
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Title
The activity in the contralateral primary motor cortex, dorsal premotor and supplementary motor area is modulated by performance gains
Published in
Frontiers in Human Neuroscience, April 2014
DOI 10.3389/fnhum.2014.00201
Pubmed ID
Authors

Ronen Sosnik, Tamar Flash, Anna Sterkin, Bjoern Hauptmann, Avi Karni

Abstract

There is growing experimental evidence that the engagement of different brain areas in a given motor task may change with practice, although the specific brain activity patterns underlying different stages of learning, as defined by kinematic or dynamic performance indices, are not well understood. Here we studied the change in activation in motor areas during practice on sequences of handwriting-like trajectories, connecting four target points on a digitizing table "as rapidly and as accurately as possible" while lying inside an fMRI scanner. Analysis of the subjects' pooled kinematic and imaging data, acquired at the beginning, middle, and end of the training period, revealed no correlation between the amount of activation in the contralateral M1, PM (dorsal and ventral), supplementary motor area (SMA), preSMA, and Posterior Parietal Cortex (PPC) and the amount of practice per-se. Single trial analysis has revealed that the correlation between the amount of activation in the contralateral M1 and trial mean velocity was partially modulated by performance gains related effects, such as increased hand motion smoothness. Furthermore, it was found that the amount of activation in the contralateral preSMA increased when subjects shifted from generating straight point-to-point trajectories to their spatiotemporal concatenation into a smooth, curved trajectory. Altogether, our results indicate that the amount of activation in the contralateral M1, PMd, and preSMA during the learning of movement sequences is correlated with performance gains and that high level motion features (e.g., motion smoothness) may modulate, or even mask correlations between activity changes and low-level motion attributes (e.g., trial mean velocity).

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Israel 2 3%
Unknown 60 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 31%
Student > Master 9 15%
Researcher 8 13%
Student > Doctoral Student 2 3%
Student > Bachelor 2 3%
Other 7 11%
Unknown 15 24%
Readers by discipline Count As %
Neuroscience 17 27%
Psychology 10 16%
Medicine and Dentistry 6 10%
Agricultural and Biological Sciences 5 8%
Sports and Recreations 2 3%
Other 7 11%
Unknown 15 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 May 2014.
All research outputs
#20,229,658
of 22,755,127 outputs
Outputs from Frontiers in Human Neuroscience
#6,529
of 7,138 outputs
Outputs of similar age
#173,172
of 203,748 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#206
of 210 outputs
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